Prof. Dr. Dr. h.c. Edda Klipp

Research profile

Mathematical modelling of dynamic biological phenomena. The group is involved in multi-disciplinary research projects to understand cellular organization, cellular processes, stress response, and decision making. Using yeast Saccharomyces cerevisiae as major model organism, we develop predictive models of various signalling pathways, metabolic pathways, cell cycle and the interaction of such pathways upon environmental changes. They closely collaborate with various experimental groups for iterative modelling and experimentation. The mathematical methods include ordinary and partial differential equations, Boolean and Bayesian networks, deterministic and stochastic simulations as well as various aspects of dynamic systems theory. They also develop computational tools for the processing of such models, including parameter estimation, sensitivity analysis and semantic assignments. Klipp is involved in various initiatives for standardization both of mathematical models and respective experimentation. She is founding member of the International Society of Systems Biology, member of several scientific advisory boards for systems biology consortia (Reactome, RoBust, Crisp), co-organizer of FEBS Advanced Lecture Courses in Systems Biology (2007, 2009), and PI in several European and national research consortia for systems biology.

Positions held

Head of the Research Group "Computational Systems Biology", Max Planck Department for Molecular Genetics, Otto Warburg Laboratory

2001 - 2006

Group leader of the Junior Research Group "Kinetic Modeling", Max Planck Institute for Molecular Genetics, Department of Vertebrate Genomics, group of Prof. Hans Lehrach, and Berlin Center for Genome Based Bioinformatics (BCB)

E Klipp. Relations between flux control coefficients and enzyme concentrations in states of minimized total amount of enzyme. In C Larsson, I L Pahlman and L Gustafsson (eds.). BioThermoKinetics. In the Post Genomic Era. University, Chalmers Reproservice, 1998, pages 27-9.

E Klipp and R Heinrich. Competition for enzymes in metabolic pathways: implications for optimal distributions of enzyme concentrations and for the distribution of flux control. BioSystems 54 (1/2):1–14, December 1999.URL

K Tummler and E Klipp. The discrepancy between data for and expectations on metabolic models: How to match experiments and computational efforts to arrive at quantitative predictions?. Curr. Opin. Syst. Biol. 8:1–6, 2018.URL